get_hazard_offset_weights

The results of a weighted <code>coxph</code> fit.

The original data for fitting the weighted Cox model.

data

The default is <code>NULL</code>. For left truncation data, which refers to transition rate for terminal event following non-terminal events, this argument is the time to non-terminal event.

time1

For right censored data, this is the event time or censoring time. For left truncation data, the argument is the time to terminal event or the censoring time.

time2

Compute the Breslow type baseline hazard and cumulative baseline hazard at each event time from a weighted Cox model with offsets.

Use inverse probability weighting methods to estimate treatment effect under marginal structure model (MSM) for the transition hazard of semi competing risk data, i.e. illness death model. We implement two specific such models, the usual Markov illness death structural model and the general Markov illness death structural model. We also provide the predicted three risks functions from the marginal structure models. Zhang, Y. and Xu, R. (2022) <arXiv:2204.10426>.

get_hazard_offset_weights: Compute the (Cumulative) Baseline Hazard from Cox Model with Offsets

Description

Usage

Arguments

Value

Details

See Also